期刊文献+

两种增值评价方法在基础教育评价中的应用 被引量:2

在线阅读 下载PDF
导出
摘要 本文主张在基础教育的校际评价、班级评价或对不同教学方法的评价过程中引入"增值"概念,以消除由学生的期初成绩差异而导致的对期末成绩的影响,从而保证评价的公平性。文章介绍了增值排序法和协方差分析法这两种增值评价法的实现途径,并通过1237个样本首次证实了学生学业成绩增值差异特征——"U形曲线"的存在,即起点水平较低和起点水平较高的两部分学生,其增值幅度高于中间水平学生。
出处 《教育测量与评价(理论版)》 2010年第8期4-7,共4页 Educational measurement and evaluation
  • 相关文献

参考文献2

二级参考文献20

  • 1李建宁.齐次马尔柯夫链分析法在教学效率评价中的应用[J].系统工程理论与实践,1996,16(3):67-72. 被引量:15
  • 2李建宁.数理统计方法在教学效率评价中的应用[J].应用概率统计,1996,12(3):335-336. 被引量:3
  • 3Scheerens, J (1990). School effectiveness research and the development of process indicators of school functioning,School Effectiveness and School Improvement, 1,(1):61-80.
  • 4Thomas, S. (2001). Dimensions of Secondary School Effectiveness: Comparative Analyses Across Regions.School Effectiveness and School Improvement 12 (3) : 285-322.
  • 5Goldstein, H (1993). Assessment and Accountability,Education, 183, (3): 33-34.
  • 6Sammon.s, P, Thomas, S & Mortimore, P (1997).Forging Links: Effective Schools and Effective Departments,London: Paul Chapman, ISBN 1-85396-349-6.
  • 7Thomas, S (1998). Value Added Measures in School Effeetiveness in the United Kingdom, Prospects, 28. (1): 91-108.
  • 8Goldstein, H (1995). Multilevel Statistical Models, second edition. Kendall's library of statistics 3. London, Sydney,Auckland: Edward Arnold.
  • 9Goldstein, H (1997). Methods in School Effectiveness Research, School Effectiveness & School Improvement, 8, (4)369-395.
  • 10Thomas, S, Sarnmons, P, Mortimore, P & Smees, R(1997). Stability and consistency in secondary schools' effects on students" GCSE outcomes over 3 years, .School Effectiveness and School Improvement, 8, (2): 169-197.

共引文献81

同被引文献84

  • 1林海菁,丁树良.具有认知诊断功能的计算机化自适应测验的研究与实现[J].心理学报,2007,39(4):747-753. 被引量:21
  • 2Ackerman, T. A., Gierl, M. J., & Walker, C. M. Using multidimen- sional item response theory to evaluate educational and psychologi- cal Tests. MIRT Instructional Module/Educational Measurement: Issues and Practice, 2003 : 37 - 53.
  • 3Armstrong, R. D., & Little, J. The assembly of multiple form struc- tures. Paper presented at the annual meeting of the National Coun- cil on Measurement in Education. 2003, April.
  • 4Breithaupt, K., & Hare, D. R. Automated simultaneous assembly of multistage testlets for a high-stakes licensing exam. Educational and Psychological Measurement, 2007:67, 5-20.
  • 5Briggs, D. C., & Weeks, J. P. The sensitivity of value-added model- ing to the creation of a vertical score scale. Education Finance and Policy, 2009,4(4), 384-414.
  • 6Cai, L. High-dimensional exploratory item factor analysis by a Me- tropolis - Hastings Robbins - Monro algorithm. Psychometrika, 2010a,75(1), 33-57.
  • 7Cai, L. Metropolis-Hastings Robbins-Monro algorithm for confir- matory item factor analysis. Journal of Educational and Behavioral Statistics, 20lOb, 35(3), 307-335.
  • 8Cai, L., Yang, J. S., & Hansen, M. Generalized full-information item bifactor analysis. Psychological Methodsm, 2011, 16(3), 221-248.
  • 9Cheng, Y. Computerized adaptive testing~new developments and applications. Unpublished doctoral thesis, University of Illinois at Urbana-Champaign. 2008.
  • 10Cheng, Y. When cognitive diagnosis meets computerized adaptive testing: CD-CAT. Psychometrika, 2009,74, 619-632.

引证文献2

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部